A user survey on search ranking algorithm for social networking sites
Khuan Yew Lee, Jer Lang Hong · 2012
Social networks need to manage and control the drift of insane amount of information by filtering and ranking everything in order to ensure they are right there for users' viewing pleasure. However, the realization of social networks ranking is currently dictated by fairly straightforward optimization algorithms. Hence, there is a need for a newly enhanced and improved ranking algorithm to be formulated since users have been occasionally seeing what they should not. In this paper, we conduct a user survey to gain a deeper insight on user needs for ranking algorithm. The outcome of the user survey is useful for the development of accurate and efficient ranking algorithm.